code: def vi_uniform_startprob_and_transmat(model, lengths):
      nc = model.n_components
      model.startprob_prior_ = np.full(nc, 1 / nc)
      model.startprob_posterior_ = np.full(nc, 1 / nc) * len(lengths)
      model.transmat_prior_ = np.full((nc, nc), 1 / nc)
      model.transmat_posterior_ = np.full((nc, nc), 1 / nc) * sum(
          lengths
      )
      return model
  
file_path: hmmlearn/lib/hmmlearn/tests/__init__.py
imports: import numpy
  import pytest
  from sklearn.datasets import make_spd_matrix
  from sklearn.utils import check_random_state
  from hmmlearn.utils import normalize
  from hmmlearn.base import DECODER_ALGORITHMS
label_desc: Use image node_id 5 for calling a global function with example usage: vi_uniform_startprob_and_transmat(model, lengths) and returns: model